Have o1 Models Solved Human Reasoning?

Author(s): Nehdiii

Originally published on Towards AI.

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OpenAI made waves in the AI community with the release of their o1 models. As the excitement settles, I feel it’s the perfect time to share my thoughts on LLMs’ reasoning abilities, especially as someone who has spent a significant portion of my research exploring their capabilities in compositional reasoning tasks. This also serves as an opportunity to address the many “Faith and Fate” questions and concerns I’ve been receiving over the past year, such as: Do LLMs truly reason? Have we achieved AGI? Can they really not solve simple arithmetic problems?

The buzz around the o1 models, code-named “strawberry,” has been growing since August, fueled by rumors and media speculation. Last Thursday, Twitter lit up with OpenAI employees celebrating o1’s performance boost on several reasoning tasks. The media further fueled the excitement with headlines claiming that “human-like reasoning” is essentially a solved problem in LLMs.

Without a doubt, o1 is exceptionally powerful and distinct from any other models. It’s an incredible achievement by OpenAI to release these models, and it’s astonishing to witness the significant jump in Elo scores on ChatBotArena compared to the incremental improvements from other major players. ChatBotArena continues to be the leading platform for… Read the full blog for free on Medium.

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Published via Towards AI